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All Journal Jurnal Simetris Jurnal technoscientia Telematika : Jurnal Informatika dan Teknologi Informasi Seminar Nasional Informatika (SEMNASIF) Jurnal Sistem Informasi dan Bisnis Cerdas Register: Jurnal Ilmiah Teknologi Sistem Informasi RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Jurnal Eksplora Informatika JMM (Jurnal Masyarakat Mandiri) JurTI (JURNAL TEKNOLOGI INFORMASI) Compiler CARADDE: Jurnal Pengabdian Kepada Masyarakat Voice Of Informatics Jurnal Teknologi Sistem Informasi dan Aplikasi Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat JMAI (Jurnal Multimedia & Artificial Intelligence) JUSIM (Jurnal Sistem Informasi Musirawas) Antivirus : Jurnal Ilmiah Teknik Informatika Building of Informatics, Technology and Science Technologia: Jurnal Ilmiah Journal of Information Systems and Informatics Jurnal Sistem Informasi dan Informatika (SIMIKA) JURNAL TEKNOLOGI TECHNOSCIENTIA Journal of Information Technology Ampera Journal of Computer and Information Systems Ampera Journal of Software Engineering Ampera Charity : Jurnal Pengabdian Masyarakat Prosiding SNAST Jurnal Pengabdian Masyarakat Indonesia Jurnal Ilmiah Teknologi Informasi dan Robotika Jurnal Abdi Masyarakat Indonesia International Journal Of Computer, Network Security and Information System (IJCONSIST) Jurnal Sains dan Teknologi Jurnal Pengabdian Mitra Masyarakat (JPMM) Journal of Computer Science and Technology (JCS-TECH) Journal of Information System and Artificial Intelligence Jurnal Sistem Informasi dan Bisnis Cerdas Journal Research of Social Science, Economics, and Management SisInfo : Jurnal Sistem Informasi dan Informatika Innovative: Journal Of Social Science Research TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi SENAPAS Mohuyula : Jurnal Pengabdian Kepada Masyarakat SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan International Journal of Artificial Intelligence and Science
Prasetyaningrum, Putri Taqwa
Universitas Mercu Buana Yogyakarta
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Implementasi Metode Certainty Factor dan Bayesian dalam Sistem Pakar Diagnosa Inkontinensia Urine Lansia Putri Taqwa Prasetyaningrum; Mutaqin Akbar; Agus Sidiq Purnomo; Irfan Pratama; Imam Suharjo
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2(SEMNASTIK) (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akunt
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2(SEMNASTIK).pp191-199

Abstract

Urinary incontinence is a medical condition commonly experienced by the elderly, requiring prompt and accurate diagnosis for effective treatment. This study aims to develop and compare the performance of two methods in expert systems for diagnosing urinary incontinence in the elderly: Certainty Factor and Bayesian. The developed expert system is web-based and utilizes a symptom dataset collected from the Santa Monika Boro Nursing Home. The findings reveal that the Certainty Factor method excels in diagnostic processing speed, while the Bayesian method offers higher accuracy in diagnostic predictions. This comparison provides valuable insights into selecting appropriate approaches for expert system applications in medical settings.
COMPARISON OF SUPPORT VECTOR MACHINE RADIAL BASE AND LINEAR KERNEL FUNCTIONS FOR MOBILE BANKING CUSTOMER SATISFACTION ANALYSIS Putri Taqwa Prasetyaningrum; Nurul Tiara Kadir; Albert Yakobus Chandra; Irfan Pratama
IJCONSIST JOURNALS Vol 4 No 1 (2022): September
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v4i1.75

Abstract

Banking services using mobile banking applications, including Indonesian state bank (called BRI). A study on feedback regarding BRI services based on mobile applications was done. In order to compete with other banks, that is used to enhance and modernize the quality of BRI services provided to clients. Based on phenomena that occur in these situations. This study aims to classify comments from users of the BRI Mobile Banking Application on Google Play services into positive and negative comment sentiments. In this study, the Support Vector Machine (SVM) technique is utilized to determine between positive or negative reviews. The sentiment analysis of BRI google play data was carried out by comparing the Radial Basis Function (RBF) kernel function and the Linear kernel. As well as the experiment of adding feature selection, parameters, and n-grams for a period of two years, from January 1st,, 2017 to December 31st, 2018. The results of the study using the k-fold cross-validation test, the precision value of the SVM kernel linear is 90.80 percent and the SVM kernel RBF is 90.15 percent. In the RBF kernel, there are 1,816 positive classes and 1,455 negative classes. While the Linear kernel obtained a positive class of 1,734 and a negative class of 1,637.
Enhanced Decision Making Using Multi Factor Evaluation Process for Innovative Product Selection Ibnu Rivansyah Subagyo; Putri Taqwa Prasetyaningrum
IJCONSIST JOURNALS Vol 5 No 2 (2024): March
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v5i2.118

Abstract

The process of selecting innovative products can be complex and challenging due to the multiple factors involved. This study explores an enhanced decision-making approach using the Multi-Factor Evaluation Process (MFEP) to assist in selecting the most suitable product among alternatives. The MFEP methodology evaluates products based on various criteria and assigns weightings to each factor according to its significance. In this research, three innovative products—SkyWater, HORNET, and BPP-4D—are evaluated. The evaluation considers critical performance indicators and calculates a final score for each product. The results indicate that SkyWater has the highest evaluation score, followed by HORNET and BPP-4D, providing insights into their relative suitability for recommendation. This paper demonstrates the effectiveness of the MFEP in facilitating objective decision-making in the selection of innovative products.
Application of Gray Level Co-Occurrence Matrix (GLCM) for Abdominal Wave Image Classification: A Comparative Study of LVQ, KNN, and SVM Putri Taqwa Prasetyaningrum; Ibnu Rivansyah Subagyo
IJCONSIST JOURNALS Vol 6 No 2 (2025): March
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v6i2.126

Abstract

Medical image classification is a crucial research area in medical imaging analysis to support clinical diagnosis. In this study, we implemented the Gray Level Co-Occurrence Matrix (GLCM) method to extract texture features from abdominal wave images and enhance classification accuracy. Three machine learning classification methods—Learning Vector Quantization (LVQ), K-Nearest Neighbors (KNN), and Support Vector Machine (SVM)—were employed and compared based on their classification performance. The experimental results show that the KNN method achieved the highest accuracy of 96.83%, followed by SVM with 95.24%, and LVQ with 84.13%. These findings indicate that KNN is the most effective classification method for abdominal wave images among those tested. This study highlights the significance of texture feature extraction using GLCM in improving medical image classification accuracy. The results of this study can contribute to the advancement of digital healthcare technologies, particularly in gastrointestinal disorder detection and digestive health monitoring. Future research should explore hybrid deep learning approaches and larger datasets to further enhance classification accuracy and model robustness.
PEMETAAN TREN GLOBAL DALAM PENELITIAN PEMBELAJARAN BERBASIS PERMAINAN DIGITAL: TINJAUAN BIBLIOMETRIK (2001–2024) Umi Rosyidah; Purwanto Purwanto; Putri Taqwa Prasetyaningrum
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 1 (2026): Januari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i1.7398

Abstract

The rapid advancement of digital technology has driven the rise of Digital Game-Based Learning (DGBL) as an innovative educational approach. Yet, the field’s research themes, key actors, and future directions remain insufficiently mapped. This study conducts a bibliometric analysis of international publications from 2001 to 2024, using Scopus and IEEE databases, with the number of data analyzed as many as 5,854 scientific articles, to identify leading keywords, authors, institutions, and countries, examine major issues and sources, and trace the evolution of themes and emerging topics. Results indicate that educational games and game-based learning remain central, while frontier technologies such as artificial intelligence and augmented reality have proliferated since 2018. Research trends cluster into emerging (AI, AR, cybersecurity, critical thinking), established (GBL, e-learning, curricula, cognitive training), and declining (CAI, aggression, action video games) topics. Network analysis shows that the United States dominates at around 30%, Spain at 17%, and the United Kingdom at 14%. In practice, they offer opportunities for innovative instructional design that leverage AI for adaptive systems and AR for immersive educational experiences. In addition, the opportunity to develop new conceptual models that explain how games can function as adaptive learning ecosystems, combining pedagogical theory, cognitive psychology, and digital technology, is very open.  
Sistem Pendukung Keputusan Supplier Toko Bangunan Dengan Metode Electre Alfin Ainin Ramdhani; Putri Taqwa Prasetyaningrum
Journal of Information System and Artificial Intelligence Vol. 4 No. 1 (2023): Vol. 4 No. 1 (2023): Journal of Information System and Artificial Intelligence
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v4i1.194

Abstract

Perancangan E-Business Berbasis Web Pada Toko Hamzah Batik Menggunakan Metode Analisa SWOT dan PEST Puja Waldi Nadeak; M. Anjas Leonardi; M. Irfan Bahri; Putri Taqwa Prasetyaningrum
Journal of Information System and Artificial Intelligence Vol. 4 No. 2 (2024): Vol. 4 No. 2 (2024): Journal of Information System and Artificial Intelligence
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v4i2.198

Abstract

E-Business is one of the developments in technology and the internet. That is a service used for buying and selling online. E-Business is selling, marketing products through electronic systems such as the internet or other computer networks. In this study the authors found the problems that occurred, namely the absence of a special sales information system for Hamzah Batik to disseminate sales, the unavailability of facilities that function as product marketing media to the public so that it is difficult to provide information about various kinds of products as offered at Hamzah Batik. In this study the method used is SWOT and PEST analysis. SWOT analysis is a strategic planning method for evaluating strengths, weaknesses, opportunities and threats in a business process. As well as this analysis method is used to systematically formulate strategic decisions related to important matters in a company. PEST analysis is a method used to analyze the external environment that can affect the company's business goals. This analysis includes analysis of political, economic, social, and technological factors.
Implementasi Customer Relationship Management (CRM) Berbasis Website Pada Satu Potret Fotografi Scholastica Larissa Zefira Lewoema; Raditha Larasaty; Putri Taqwa Prasetyaningrum
Journal of Information System and Artificial Intelligence Vol. 4 No. 2 (2024): Vol. 4 No. 2 (2024): Journal of Information System and Artificial Intelligence
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v4i2.216

Abstract

Satu Potret Photography is a photography service company that provides various photo services, such as family photos, product photos, graduation photos, and other services. To improve the quality of service and customer loyalty, the company wants to implement an information system based on CRM (Customer Relationship Management). The purpose of this research is to design and implement a CRM information system using Wordpress as a popular and easy-to-use website creation platform. This CRM information system has features such as photography service reservation, customer testimonials, and catalog packages. This CRM information system is expected to support the company in offering promotions that match the customer’s wishes. That way, the company can improve service, sales, and build a good relationship between the company and customers.
Sistem Rekomendasi Pemilihan Mobil Honda Menggunakan Metode Fuzzy MCDM (Multi Criteria Decision Making) (Studi Kasus: Honda Perkasa Klaten) Herlina Angraini Susanti; Putri Taqwa Prasetyaningrum
Journal of Information System and Artificial Intelligence Vol. 5 No. 1 (2024): Vol. 5 No. 1 (2024): Vol. 5 No. 1 (2024): Journal of Information System and Art
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v5i1.222

Abstract

Kendaraan, terutama mobil, telah menjadi kebutuhan pokok yang penting bagi masyarakat modern. Mobil dipilih untuk beraktivitas karena dapat menampung lebih dari satu penumpang, menawarkan kenyamanan berkendara, dan melindungi penggunanya dari cuaca buruk. Namun, saat membeli mobil, konsumen sering dihadapkan pada berbagai kriteria yang mempengaruhi keputusan pembelian, seperti berat mobil, kapasitas penumpang, ukuran mesin, daya maksimum, dan harga. Hal ini seringkali mempersulit konsumen dalam menentukan pilihan mobil yang tepat. Penelitian ini membahas proses rekomendasi mobil yang paling sesuai dengan kebutuhan konsumen menggunakan metode Fuzzy Multi-Criteria Decision Making (FMCDM). Metode ini mengolah data spesifikasi mobil untuk menghasilkan rekomendasi yang optimal bagi konsumen. Hasil dari penelitian ini diharapkan dapat membantu calon pembeli mobil dalam memilih mobil yang paling sesuai dengan kriteria mereka, sehingga mempermudah proses pengambilan keputusan. Dengan demikian, penelitian ini berkontribusi dalam memberikan solusi praktis dan efisien bagi konsumen dalam menentukan pilihan mobil yang tepat.
Analisis dan Perancangan Website E-Business Undangan Pernikahan Digital Nabil Fauzan; Syalom Kristian Manurung; Fendi Pradana Saputra; Putri Taqwa Prasetyaningrum
Journal of Information System and Artificial Intelligence Vol. 5 No. 1 (2024): Vol. 5 No. 1 (2024): Vol. 5 No. 1 (2024): Journal of Information System and Art
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v5i1.228

Abstract

Menyatukan dua insan dalam ikatan cinta bukanlah sekadar perayaan, tapi lambang harmoni dan kebersamaan. Di era digital ini, "Jadi Satu" hadir sebagai solusi inovatif untuk mengabadikan momen sakral tersebut melalui undangan pernikahan digital yang elegan dan terjangkau. Melalui platform "Jadi Satu", calon pengantin dapat memilih dari beragam desain berkelas, menyesuaikan kata-kata undangan sesuai keinginan, dan mengirimkannya ke seluruh penjuru dunia dengan hanya beberapa klik. Menghemat waktu, kertas, dan biaya, "Jadi Satu" turut berkontribusi terhadap langkah awal kehidupan berkeluarga yang ramah lingkungan dan efisien. Website "Jadi Satu" dirancang dengan antarmuka intuitif dan user-friendly, memungkinkan siapapun, terlepas dari keahlian teknologi, untuk berkreasi dengan mudah. Fitur unggulan seperti galeri desain tematik, editor teks fleksibel, dan RSVP online, memastikan pengalaman menyusun undangan yang menyenangkan dan tak terlupakan. Lebih dari sekadar undangan, "Jadi Satu" berkomitmen menjadi bagian dari perjalanan cinta.
Co-Authors Adi Ronggo Wicaksono Affandi Putra Pradana Agung Supoyo Agustin, Isnaini Ahmad Iwan Fadli Ahmad Mukhlasin Ahsan, Moh Ajisari, Lanang Dian Albert Yakobus Chandra Albert Yakobus Chandra Alfin Ainin Ramdhani Alphi Mukti Anggie Kurniawati Anggo Luthfi Yunanto Ari Wibowo Arita Witanti Aritonang, Roselina Artika Sari Arwa Ulayya Haspriyanti Aryani, Eka Ati, Gresensia Rosadelima Azzahra, Bernica Bagus Nur Solayman Bambang Robiin Bambang Setio Purnomo Bambang Setio Purnomo Budianto, Alexius Endy Cindy Okta Melinda Dapit Virdaus Denny Jean Cross Sihombing Devi Febrianti dewi, Ine shinta Dhana Sudana Eka Aryani, Eka Erza, Muhammad Al-Ghifari Fendi Pradana Saputra Fithriatus Shalihah Fransiskus Xaverius Pere GUNARTATIK ESTHININGTYAS Hamam Nurrofiq Hasnidar Hasnidar Heri Agus Prasetyo Herin, Sofia Herlina Angraini Susanti Ibnu Rivansyah Subagyo Ibnu Rivansyah Subagyo Ibnu Rivansyah Subagyo Ibrahim, Norshahila Imam Riadi Irfan Pratama Irya Wisnubhadra Julius Bata Jumiyati Juwita Juwita Karlina, Leni Khalifah Samiih Sya'bani Sya'bani Khoirut Tamimi Kris Rahayu Kristina Andryani Larasaty, Raditha Latifah, Retno Leni Karlina Lewoema, Scholastica Larissa Zefira luky kurniawan, luky M. Anjas Leonardi M. Irfan Bahri Mita Oktafani Mu'ti, Dewi Lestari Mukti, Alphi Rinaldi Nalendra Mutaqin Akbar Nabil Fauzan Nanda, Tietan Geovanka Ningsih, Ruly Norshahila Ibrahim Nuning Rusmilawati Nur Sholehah Dian Saputri Nuri Budi Hangesti Nursila Latambaga Nurul Tiara Kadir Nurul Tiara Kadir Okta, Sri Oktafani, Mita Ozzi Suria Ozzi Suria Pipin Yuliyanto Pratama, Bagus Wahyu Ari Pratama, Irfan Puja Waldi Nadeak Puja Waldi Nadeak Puja Purwanto Purwanto Putra, Rio Aji Hadyanta raden roro christawani herawati Raditha Larasaty Rani Dwi Lestari Reny Yuniasanti Resi Dwi Febrianti Rias Ilham Agung Nugroho Rosita, Rani Rully Ningsih Rustiawan, Muhammad Rizqi Akfani saka, Hildegardis Kristina Santoso Pamungkas Sari, Artika Scholastica Larissa Zefira Lewoema Scholastica Lewoema Setiyani, Santi Setyaningsih, Putry Wahyu Sidiq Purnomo, Agus SILA MILDAWATI Simarmata, Penni Wintasari Subagyo, Ibnu Rivansyah Suharjo, Imam Suria, Ozzi Suyoto Suyoto Syalom Kristian Manurung Umi Rosyidah Viony Julianti Sipayung Wahyuningsih Wahyuningsih